.net software engineer - intern leading to full-time

data entry operator

data analyst

associate software engineer Jobs in Lahore

associate software engineer

civil engineer

.net software engineer - intern leading to full-time Jobs in Lahore

data engineer

CodeNinja Inc.

<div>
 
 About CodeNinja
 
 
 
 
 CodeNinja
 
 is a full-stack AI delivery company that helps enterprises, governments, and software acquirers build and operate intelligence-driven systems for mission-critical workflows. We specialize in deploying AI into real operations&mdash;combining strong engineering fundamentals with AI-native delivery to create measurable value, resilience, and long-term ownership for our clients. Our global footprint and delivery model are supported by AI Labs, AI Pods, and Global Capability Centers, enabling teams to co-engineer scalable platforms across regions and time zones.
 
 
 
 Role Overview
 
 
 
 We are seeking a skilled
 
 Data Engineer
 
 with 3+ years of experience to design and build robust, scalable data pipelines supporting financial machine learning forecasting models.
 
 
 You will be responsible for ingesting, cleaning, validating, and structuring complex multi-source financial datasets to enable high-quality time-series model training and analytics.
 
 
 This role requires strong technical expertise in ETL/ELT pipelines, financial data processing, and data quality assurance within secure corporate environments.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain automated ETL/ELT pipelines from CSV/Excel exports within secure enterprise environments.
 </li>
 <li>
 Perform data cleaning, normalization, validation, and integrity checks on financial transaction datasets.
 </li>
 <li>
 Execute entity mapping, currency standardization, and data synthesis across multiple legal entities and G/L accounts.
 </li>
 <li>
 Build exploratory data analysis (EDA) pipelines, including statistical analysis of financial flow patterns and seasonality.
 </li>
 <li>
 Develop feature stores with pre-computed lag and rolling statistics for ML forecasting consumption.
 </li>
 <li>
 Ensure high data quality through validation frameworks and automated integrity checks.
 </li>
 <li>
 Document data pipelines, quality reports, and technical handoff materials for ML Engineering teams.
 </li>
 <li>
 Collaborate closely with ML engineers, domain subject matter experts, and stakeholders
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 3+ years of hands-on experience building production-grade data engineering pipelines.
 </li>
 <li>
 Strong Python expertise (Pandas, NumPy) and SQL proficiency.
 </li>
 <li>
 Experience using Jupyter notebooks for EDA and reporting.
 </li>
 <li>
 Proven experience handling complex financial datasets (transactions, general ledger, settlements, multi-currency data).
 </li>
 <li>
 Strong knowledge of data validation frameworks and quality assurance methodologies.
 </li>
 <li>
 Experience parsing and processing large CSV/Excel datasets at scale.
 </li>
 <li>
 Familiarity with corporate network security protocols and access control environments.
 </li>
 <li>
 Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Financial domain experience (intercompany transactions, treasury operations).
 </li>
 <li>
 Experience preparing time-series datasets for ML forecasting models.
 </li>
 <li>
 Exposure to orchestration tools such as Airflow, Luigi, or Prefect.
 </li>
 <li>
 Experience working with cloud data platforms (AWS S3, GCP BigQuery, Azure Data Lake).
 
 
 </li>
 </ul>
 
 Why Join CodeNinja?
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI and financial forecasting solutions.
 </li>
 <li>
 Collaborate with high-performing engineers and AI specialists.
 </li>
 <li>
 Exposure to enterprise-grade secure environments and global clients.
 </li>
 <li>
 Opportunity to contribute to impactful, data-driven transformation initiatives.
 </li>
 <li>
 A culture that values ownership, growth, and continuous learning.
 </li>
 <li>
 Competitive compensation and career progression opportunities.
 
 
 </li>
 </ul>
 
 Equal Opportunity &amp; Disclaimer
 
 
 
 CodeNinja is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are made based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, gender, national origin, disability status, or any other characteristic protected by applicable laws.
 
 
 Only shortlisted candidates will be contacted. CodeNinja reserves the right to modify the job description based on business requirements.
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 Provident Fund
 </li>
 <li>
 Gym Membership
 </li>
 <li>
 Leaves as per the company policy
 </li>
 <li>
 Company-paid trips
 </li>
 <li>
 Easy Loan Facility for Employees
 </li>
 <li>
 Yearly increment
 </li>
 <li>
 Maternity Benefits (Leaves &amp; WFH)
 </li>
 <li>
 Health Insurance (Maternity covered) - includes spouse and parents (till age 80)
 </li>
 </ul>
</div>

Data Engineer

CodeNinja

<div>About CodeNinja
CodeNinja is a full-stack AI delivery company that helps enterprises, governments, and software acquirers build and operate intelligence-driven systems for mission-critical workflows. We specialize in deploying AI into real operations&mdash;combining strong engineering fundamentals with AI-native delivery to create measurable value, resilience, and long-term ownership for our clients. Our global footprint and delivery model are supported by AI Labs, AI Pods, and Global Capability Centers, enabling teams to co-engineer scalable platforms across regions and time zones.
Role Overview
We are seeking a skilled Data Engineer with 3+ years of experience to design and build robust, scalable data pipelines supporting financial machine learning forecasting models.
You will be responsible for ingesting, cleaning, validating, and structuring complex multi-source financial datasets to enable high-quality time-series model training and analytics.
This role requires strong technical expertise in ETL/ELT pipelines, financial data processing, and data quality assurance within secure corporate environments.
Key Responsibilities<ul><li>
Design, develop, and maintain automated ETL/ELT pipelines from CSV/Excel exports within secure enterprise environments.
</li><li>Perform data cleaning, normalization, validation, and integrity checks on financial transaction datasets.
</li><li>Execute entity mapping, currency standardization, and data synthesis across multiple legal entities and G/L accounts.
</li><li>Build exploratory data analysis (EDA) pipelines, including statistical analysis of financial flow patterns and seasonality.
</li><li>Develop feature stores with pre-computed lag and rolling statistics for ML forecasting consumption.
</li><li>Ensure high data quality through validation frameworks and automated integrity checks.
</li><li>Document data pipelines, quality reports, and technical handoff materials for ML Engineering teams.
</li><li>Collaborate closely with ML engineers, domain subject matter experts, and stakeholders.</li></ul> 

Requirements 
<ul><li>
3+ years of hands-on experience building production-grade data engineering pipelines.
</li><li>Strong Python expertise (Pandas, NumPy) and SQL proficiency.
</li><li>Experience using Jupyter notebooks for EDA and reporting.
</li><li>Proven experience handling complex financial datasets (transactions, general ledger, settlements, multi-currency data).
</li><li>Strong knowledge of data validation frameworks and quality assurance methodologies.
</li><li>Experience parsing and processing large CSV/Excel datasets at scale.
</li><li>Familiarity with corporate network security protocols and access control environments.
</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, or a related field.
</li></ul>Nice to Have<ul><li>
Financial domain experience (intercompany transactions, treasury operations).
</li><li>Experience preparing time-series datasets for ML forecasting models.
</li><li>Exposure to orchestration tools such as Airflow, Luigi, or Prefect.
</li><li>Experience working with cloud data platforms (AWS S3, GCP BigQuery, Azure Data Lake).
</li></ul>Why Join CodeNinja?<ul><li>
Work on cutting-edge AI and financial forecasting solutions.
</li><li>Collaborate with high-performing engineers and AI specialists.
</li><li>Exposure to enterprise-grade secure environments and global clients.
</li><li>Opportunity to contribute to impactful, data-driven transformation initiatives.
</li><li>A culture that values ownership, growth, and continuous learning.
</li><li>Competitive compensation and career progression opportunities.
</li></ul>Equal Opportunity &amp; Disclaimer
CodeNinja is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are made based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, gender, national origin, disability status, or any other characteristic protected by applicable laws.
Only shortlisted candidates will be contacted. CodeNinja reserves the right to modify the job description based on business requirements. 
Benefits 
<ul><li>
Provident Fund</li><li>
Gym Membership
</li><li>Leaves as per the company policy
</li><li>Company-paid trips
</li><li>Easy Loan Facility for Employees
</li><li>Yearly increment
</li><li>Maternity Benefits (Leaves &amp; WFH)
</li><li>Health Insurance (Maternity covered) &ndash; includes spouse and parents (till age 80)</li></ul></div>

ibex

<div>
 We are seeking a highly motivated and responsible
 
 Data Engineer
 
 to join our dynamic team. This role requires hands-on experience in building scalable data pipelines, managing structured and unstructured databases, and supporting end-to-end data operations. The ideal candidate will bring strong problem-solving skills, a collaborative mindset, and a commitment to data excellence.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and manage reliable and scalable data pipelines.
 </li>
 <li>
 Clean, validate, and transform data from multiple sources for analytics and operational use.
 </li>
 <li>
 Work with large datasets and ensure high data quality and availability.
 </li>
 <li>
 Develop and maintain ETL workflows using standard tools and scripting.
 </li>
 <li>
 Automate data extraction, transformation, and loading processes across systems.
 </li>
 <li>
 Monitor and optimize performance of data workflows for speed and efficiency.
 </li>
 <li>
 Develop, maintain, and optimize complex SQL queries, stored procedures, functions, and views.
 </li>
 <li>
 Design and implement relational database schemas and indexing strategies.
 </li>
 <li>
 Ensure data integrity, security, and compliance within SQL Server environments.
 </li>
 <li>
 Work with MongoDB for storing and querying unstructured or semi-structured data.
 </li>
 <li>
 Design document-based data models and manage performance tuning for MongoDB.
 </li>
 <li>
 Handle replication and backup strategies where applicable.
 </li>
 <li>
 Analyze complex data requirements and translate them into efficient technical solutions.
 </li>
 <li>
 Identify data-related issues, perform root-cause analysis, and deliver timely resolutions.
 </li>
 <li>
 Work closely with data analysts, software engineers, and business stakeholders to understand requirements.
 </li>
 <li>
 Participate in code reviews, team planning sessions, and cross-functional meetings.
 </li>
 <li>
 Take ownership of assigned tasks with accountability and attention to detail.
 </li>
 <li>
 Exhibit a proactive approach to delivering solutions and supporting team goals.
 </li>
 <li>
 Contribute to architectural discussions and recommend improvements based on industry best practices.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field.
 </li>
 <li>
 2&ndash;3 years of experience in data engineering or database development roles.
 </li>
 <li>
 Strong proficiency in SQL Server (T-SQL, indexing, optimization).
 </li>
 <li>
 Hands-on experience with MongoDB or other NoSQL technologies.
 </li>
 <li>
 Familiarity with data pipeline tools and ETL development.
 </li>
 <li>
 Working knowledge of Python or similar scripting languages.
 </li>
 <li>
 Understanding of data modeling, normalization, and data warehousing concepts.
 </li>
 <li>
 Strong analytical thinking and problem-solving skills.
 </li>
 <li>
 Excellent communication and teamwork abilities.
 </li>
 </ul>
</div>

Data Engineer, Tech

ASK Development

Key Responsibilities<ul><li>Configure, manage, and support SAP PM module Master Data</li><li>Coordinate with maintenance teams to ensure timely creation and closure of work orders and notifications.</li><li>Monitor asset performance and support data-driven maintenance planning.</li><li>Generate reports on equipment performance, downtime, labor hours, and material consumption.</li><li>Develop and maintain equipment master data, functional locations, and task lists.</li><li>Conduct training for maintenance staff on SAP usage and process adherence.</li><li>Collaborate with Procurement and Finance for material and service planning linked to maintenance.</li><li>Ensure compliance with internal maintenance SOPs and external audit requirements.</li></ul>Required Qualifications<ul><li>Bachelor's degree in Engineering, Information Technology, or related field.</li><li>Minimum 3 years of experience in SAP Plant Maintenance module.</li><li>Strong understanding of maintenance workflows and equipment life cycle management.</li><li>Excellent analytical and problem-solving skills.</li><li>Strong communication and team coordination abilities.</li></ul>Preferred Skills<ul><li>Experience in utility/facility/infrastructure maintenance.</li><li>Working knowledge of integration between PM, MM, and FI modules.</li><li>SAP S/4HANA experience is a plus.</li></ul>Job Type: Full-timePay: Rs70,000.00 - Rs90,000.00 per monthAbility to commute/relocate:<ul><li>Lahore Secondary Board: Reliably commute or planning to relocate before starting work (Required)</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>Facilities Maintenance Engineering: 3 years (Required)</li></ul>Work Location: In person

SAP Master Data Engineer

FiveRivers Technologies

<div><div><h3 class="jobSectionHeader">Job Information</h3>
<ul><div>Date Opened
<div>02/26/2026
</div></div><div>Job Type
<div>Full time
</div></div><div>Work Experience
<div>4-6 years
</div></div><div>Industry
<div>IT Services
</div></div><div>City
<div>Lahore
</div></div><div>State/Province
<div>Punjab
</div></div><div>Country
<div>Pakistan
</div></div><div>Zip/Postal Code
<div>54000
</div></div></ul></div><div><h3 class="jobSectionHeader">Job Description</h3>
<div><div>The Senior Data Integration Engineer is responsible for integrating customer data into the cloud platform. This role ensures data is accurate, consistent, and delivered in a format that supports analytics and reporting. You will collaborate closely with customer IT teams, internal engineering, and customer success teams to enable successful data onboarding and ongoing pipeline performance. 
This role is ideal for a data-driven professional who enjoys solving complex data challenges and working in a fast-paced deployment environment.<h3 class="jobSectionHeader"> 
Key Responsibilities</h3><ul><li> 
Perform initial data integrations for new customers and maintain ongoing extraction and transformation processes</li><li> 
Build and manage ETL/ELT workflows to extract, transform, and load data into databases or data lakes</li><li> 
Integrate data from APIs, ERPs, databases, web services, and third-party systems</li><li> 
Automate workflows and optimize existing data processes for performance and scalability</li><li> 
Ensure data quality by identifying and resolving inconsistencies, errors, and gaps</li><li> 
Act as the primary technical point of contact for assigned customers</li><li> 
Analyze customer data to support inventory reduction and shortage prevention goals</li><li> 
Collaborate with Engineering and Customer Success teams to support data pipeline operations</li></ul></div><h3 class="jobSectionHeader"> 
Requirements</h3><ul><li>
Proficiency in Python, Java, or SQL</li><li> 
Strong experience with relational and NoSQL databases</li><li> 
Experience with cloud data infrastructure (AWS or Azure)</li><li> 
Strong data transformation and pipeline engineering expertise</li><li> 
Ability to work cross-functionally with engineering, product, and customer success teams</li><li> 
Strong analytical mindset and problem-solving skills</li><li> 
Ability to communicate technical concepts to non-technical stakeholders</li></ul><ul><li> 
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, Data Science, or related field</li><li> 
Experience in data engineering, data integration, or similar role</li><li> 
Advanced SQL skills</li><li> 
Experience working with ERP or enterprise business systems</li><li> 
Strong understanding of data modeling and design principles</li><li> 
Ability to learn new systems and business processes quickly</li></ul><ul><li> 
Knowledge of supply chain or manufacturing processes</li><li> 
Familiarity with DevOps practices and CI/CD pipelines</li></ul><div> 
Location: Gulberg II, Lahore</div></div></div></div>

Senior Data Integration Engineer

Brand786 LTD

We are looking for a Data Analyst / Analytics Engineer to design and manage a modern data infrastructure that centralizes business data and delivers actionable insights across sales, marketing, and operations.Key Responsibilities<ul><li>Design and manage cloud-based data architecture</li><li>Build and maintain ETL/ELT data pipelines</li><li>Integrate data from CRM, marketing, website analytics, and operational systems</li><li>Develop interactive dashboards and reporting systems</li><li>Deliver weekly, monthly, and quarterly business reports</li><li>Analyze data to identify trends, insights, and performance improvements</li><li>Implement data governance, quality checks, and security standards</li><li>Collaborate with department heads to translate business needs into data insights</li></ul>Required Skills<ul><li>Advanced SQL</li><li>Experience with Python or R</li><li>Strong knowledge of data pipelines and ETL processes</li><li>Experience with BI tools (Power BI, Tableau, Looker, etc.)</li><li>Strong understanding of data modelling and analytics</li></ul>Preferred Skills<ul><li>Experience with Google Cloud or Microsoft Azure</li><li>Experience building data infrastructure from scratch</li><li>Knowledge of sales, marketing, and operational analytics</li></ul>Job Type: Full-timeLanguage:<ul><li>English (Required)</li></ul>Work Location: In person

Data Analyst

Saif General Store, Rohillanwali

LEAD AUTOMATION ENGINEER (Data Routing &amp; n8n)Company: NEWAX TECHNOLOGIES (SMC-PRIVATE) LIMITEDEntity Type: Premier Digital Infrastructure FirmThe Mandate: Newax Technologies is not another digital vendor; we are an Enterprise Automation Solution Provider. We build independent digital ecosystems for our clients across 8 key sectors. We do not rely on basic Zapier workflows or expensive third-party SaaS. We engineer high-velocity, self-hosted automation infrastructure to give our enterprise clients absolute data sovereignty. We are seeking an Automation Engineer who is obsessed with data routing, API efficiency, and clean logic.Core Responsibilities:<ul><li>Architect, deploy, and maintain complex data routing workflows using self-hosted n8n environments.</li><li>Parse and clean highly unstructured data from legacy systems and format it into structured JSON for real-time CRM ingestion.</li><li>Build custom code nodes within automation workflows to handle edge cases that out-of-the-box integrations cannot process.</li><li>Ensure extreme data velocity and zero-latency execution across interconnected enterprise systems (Supabase, EspoCRM, Next.js hubs).</li><li>Monitor API limits, manage webhooks securely, and troubleshoot workflow failures immediately.</li></ul>Technical Requirements:<ul><li>Absolute mastery of n8n (Self-hosted environments).</li><li>Deep fluency in JavaScript/TypeScript for custom logic.</li><li>Advanced Regex (Regular Expressions) for ruthless data parsing and extraction.</li><li>Expert-level understanding of Webhooks, RESTful APIs, OAuth2, and JSON architecture.</li><li>Ability to map out complex logic trees before writing a single line of code.</li></ul>The Hiring Protocol (Proof of Work ONLY): To claim this seat, complete the following test:The Trial: We will provide a highly unstructured, messy CSV file. You must use n8n to clean the data, format it into structured JSON, and trigger a simulated API alert. Submit your workflow JSON and deployment link.Job Type: Full-timePay: Rs300,000.00 - Rs1,000,000.00 per monthApplication Question(s):<ul><li>Zapier and Make.com are for beginners. We self-host our infrastructure to bypass the 'Automation Tax.' In 3 sentences, explain the architectural difference between running n8n via Docker versus a managed SaaS, and how you would handle persistent volume storage for n8n executions.</li><li>You receive a highly unstructured, messy string payload from a legacy hospital system. You need to extract exactly 4 digits that follow the word 'DiagCode:' but the spacing is inconsistent (e.g., 'DiagCode: 1234', 'DiagCode:1234', 'DiagCode : 1234'). Write the exact Regex pattern you would use in a JavaScript node to extract this safely.</li><li>You are building an n8n workflow that pulls 50,000 rows from our Supabase database and enriches each row via a third-party API that strictly limits requests to 50 per second. How do you architect this in n8n to ensure zero data loss and zero API bans?</li><li>At Newax, we have a strict Sandbox Mandate. No workflow is pushed to production without testing. How do you handle Environment Variables and separated credentials (Dev vs. Prod) within n8n?</li></ul>Experience:<ul><li>Backend Data Engineering, or Systems Integration: 4 years (Required)</li></ul>Language:<ul><li>Technical English (Fluent) (Required)</li></ul>License/Certification:<ul><li>GitHub/n8n Community Profile or n8n Certification (Preferred)</li></ul>Work Location: In person

LEAD AUTOMATION ENGINEER (Data Routing & n8n)

Explore 564+ Data engineer in Lahore this March. Find roles across top companies and apply now to boost your career.

564 data engineer jobs In Lahore

Data Engineer

Data Engineer

Data Engineer, Tech

SAP Master Data Engineer

Senior Data Integration Engineer

Data Analyst

LEAD AUTOMATION ENGINEER (Data Routing & n8n)